You can deploy this model and start earning money today!

ProtoFaze/
layoutlmv2_output

Name: layoutlmv2_output
Availability: InStock

generated_from_trainer

microsoft/layoutlmv2-base-uncased

Views

No views yet

layoutlmv2_output

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3471
Precision: 0.8712
Recall: 0.8742
F1: 0.8727
Accuracy: 0.9288

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3415	0.8772	500	0.4834	0.8227	0.8343	0.8285	0.8966
0.228	1.7544	1000	0.3607	0.8591	0.8528	0.8559	0.9170
0.1769	2.6316	1500	0.3408	0.8571	0.8556	0.8563	0.9208
0.1183	3.5088	2000	0.3570	0.8661	0.8579	0.8620	0.9208
0.0915	4.3860	2500	0.3603	0.8644	0.8702	0.8673	0.9256

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1

ProtoFaze/layoutlmv2_output

layoutlmv2_output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ProtoFaze/
layoutlmv2_output